搜索资源列表
gradient_descent-
- 梯度下降算法Python实现,用于logistic regression的训练问题。-Python implementation gradient descent algorithm for training logistic regression problems.
LR.tar
- 逻辑斯谛回归的python实现,主要是用的梯度下降法以及改进的随机梯度下降法实现-logit regression
PGD
- 此代码实现投影梯度下降算法,采用wolfe不精确搜索,问题约束假定为非负约束-the code implements the PGD algorithm, it takes the wolfe search and has the non-negative limits
CV_Image_segmentation
- CV模型是一种重要的图像分割模型,本代码针对其收敛速度慢、效率低的缺点,提出一种求解CV模型的新方法。将CV模型的能量泛函改写为改写为与原来有稳定解的总变分公式形式,然后使用对偶公式法求总变分公式的极小值,再在其中引入一速度向以加快模型的收敛速度。新方法克服了梯度下降法,要求时间步长小,迭代次数多的缺点。-CV model is a kind of important image segmentation model, the code for its slow convergence spee
gradent_desent
- 梯度下降算法, 可以直接在电脑上解压运行,保证正确-Gradient descent algorithm can extract run directly on the computer, to ensure the correct
nmfsc
- 基于梯度下降的稀疏约束 NMF 算法(NMFsc),之前pudn上也有类似的,但缺少一个程序,这里面都包括了 -Based on gradient descent sparse constraint NMF algorithm (NMFsc), before the pudn has a similar, but the lack of a program, there are included
BPNN
- 使用梯度下降的bp神经网络实现iris数据的分类的java程序,适合初学者-BP neural network using gradient descent to achieve iris data classification of the Java program, suitable for beginners
gradient
- 梯度下降算法的matlab代码实现Gradient descent-Gradient descent algorithm matlab code
usingTVSR
- 选用梯度下降法以及TV正则项,BTV正则项进行超分辨率图像重建-TV and BTV SR
FNN
- 模糊神经网络,梯度下降算法。能以任意精度逼近任意连续函数-Neural network, gradient descent algorithm. Arbitrary precision can approximate any continuous function
Gradient-method
- 程序采用梯度下降法求解函数最小值,函数系数矩阵分别为50x50和100x100,梯度下降法中,同时采用了精确直线搜索和回溯直线搜索,并比较了两种方法的收敛速度,用图形表示。文件里面有具体问题描述。-Program uses a gradient descent method for solving the minimum, function coefficient matrix are 50x50 and 100x100, gradient descent method, while using
GradientDescent
- GradientDescent梯度下降法,以后会添加随机梯度下降法,正在学习中-Gradient descent, will be added later stochastic gradient descent, I am learning
1
- 梯度下降学习代码,简单明了,一看就会-Gradient descent learning code, simple and clear
EMKmeans
- 在线KMeans算法不同于一般的聚类,其主要算法为梯度下降法-Online KMeans Unlike clustering algorithm, the main gradient descent algorithm
gradient
- 基于 matlab的梯度下降算法的例程,有说明,调试可用-Gradient descent algorithm based on matlab routine, there are instructions, Commissioning Available
nonlinear-optimization
- 非线性规划各种算法汇总,包括线搜索、梯度下降法、牛顿法、共轭梯度法、DFP算法、BFGS算法和信赖域算法-Summary all kinds of algorithm of nonlinear programming, including line search, the gradient descent method, Newton method and conjugate gradient method, DFP algorithm and BFGS algorithm and trust
Perceptron
- 本实验的目的是学习和掌握两种感知器算法:批处理感知器算法和批处理裕量松弛 算法。感知器算法是通过学习两类已标记的样本,建立一个线性分类器。学习的过程就是求解感知器权系数的过程,人们通过建立一个准则函数J(a),将求解感知器权系数的问题简化为一个标量函数J(a)的极小化问题,即当a为解向量时,J(a)最小。而极小化问题常用梯度下降法来解决。本实验给出了基于梯度下降法的两种感知器算法,介绍了原理并编程实现,最后对两种算法的特点加以比较分析。-The purpose of this study i
BP
- BP神经网络程序,包含一个C语言的原始程序,看到BP的算法流程,还有两个改进的BP程序,包括自适应动量下降法和梯度下降法-BP neural network program, the original program that contains a C language, see BP algorithm process, there are two improved BP procedures, including adaptive momentum descent and gradient
linear-regressionpy
- python实现简单的单变量线性回归,使用MSE以及梯度下降两种方法-python simple univariate linear regression, using two methods MSE and gradient descent
linearregmatlab
- matlab实现简单的单变量线性回归,并详细实现了梯度下降过程-matlab simple univariate linear regression, and the detailed implementation of the gradient descent